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Bayesian inference in error-in-variables models

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Author Info

  • Florens, J. -P.
  • Mouchart, M.
  • Richard, J. -F.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Multivariate Analysis.

Volume (Year): 4 (1974)
Issue (Month): 4 (December)
Pages: 419-452

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Handle: RePEc:eee:jmvana:v:4:y:1974:i:4:p:419-452

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Cited by:
  1. Serge Darolles & Jean-Pierre Florens & Eric Renault, 2000. "Nonparametric Instrumental Regression," Working Papers 2000-17, Centre de Recherche en Economie et Statistique.
  2. Vidal, Ignacio & Arellano-Valle, Reinaldo B., 2010. "Bayesian inference for dependent elliptical measurement error models," Journal of Multivariate Analysis, Elsevier, vol. 101(10), pages 2587-2597, November.
  3. Vidal, Ignacio & Iglesias, Pilar, 2008. "Comparison between a measurement error model and a linear model without measurement error," Computational Statistics & Data Analysis, Elsevier, vol. 53(1), pages 92-102, September.
  4. Hikaru Hasegawa & Kazuhiro Ueda, 2007. "Measuring chronic and transient components of poverty: a Bayesian approach," Empirical Economics, Springer, vol. 33(3), pages 469-490, November.
  5. Carrasco, Marine & Florens, Jean-Pierre & Renault, Eric, 2006. "Linear Inverse Problems in Structural Econometrics: Estimation Based on Spectral Decomposition and Regularization," Open Access publications from University of Toulouse 1 Capitole http://neeo.univ-tlse1.fr, University of Toulouse 1 Capitole.

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